New defaults for concat, merge, combine_*
#16423
Annotations
10 errors and 11 warnings
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Run tests:
xarray\tests\test_dask.py#L448
TestDataArrayAndDataset.test_concat_loads_variables
ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray\tests\test_backends.py#L4556
TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[outer-different-nested-t]
ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray\tests\test_backends.py#L4556
TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[outer-different-by_coords-None]
ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray\tests\test_backends.py#L4556
TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[inner-different-nested-t]
ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray\tests\test_backends.py#L4556
TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[inner-different-by_coords-None]
ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray\tests\test_backends.py#L4556
TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[left-different-nested-t]
ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray\tests\test_backends.py#L4556
TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[left-different-by_coords-None]
ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray\tests\test_backends.py#L4556
TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[right-different-nested-t]
ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray\tests\test_backends.py#L4556
TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[right-different-by_coords-None]
ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray\tests\test_backends.py#L4656
TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_exact_join_raises_error[different-by_coords-None]
AssertionError: Regex pattern did not match.
Regex: 'cannot align objects.*join.*exact.*'
Input: "Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case."
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Run tests:
xarray/core/duck_array_ops.py#L232
invalid value encountered in cast
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Run tests:
C:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\array_api_strict\_data_type_functions.py#L45
invalid value encountered in cast
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Run tests:
xarray/core/duck_array_ops.py#L232
invalid value encountered in cast
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Run tests:
C:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\array_api_strict\_data_type_functions.py#L45
invalid value encountered in cast
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Run tests:
xarray/core/duck_array_ops.py#L232
invalid value encountered in cast
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Run tests:
xarray/core/duck_array_ops.py#L232
invalid value encountered in cast
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Run tests:
xarray/tests/test_backends.py#L4188
The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
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Run tests:
xarray/tests/test_backends.py#L4188
The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
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Run tests:
xarray/tests/test_backends.py#L4188
The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
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Run tests:
xarray/tests/test_backends.py#L4188
The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
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Restore cached hypothesis directory
Input 'save-always' has been deprecated with message: save-always does not work as intended and will be removed in a future release.
A separate `actions/cache/restore` step should be used instead.
See https://github.com/actions/cache/tree/main/save#always-save-cache for more details.
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